Hsin-Ta Wu
Impact in
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- Cancer Genomics and Diagnostics
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- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer Genomics and Diagnostics 12
- Oncology 10
- Cancer Cells and Metastasis 5
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Himanshu Sethi (10 shared papers)Mustafa Balcioglu (5 shared papers)Alexey Aleshin (10 shared papers)Melinda L. Telli (1 shared paper)Kirsten M. Timms (1 shared paper)Vasily N. Aushev (2 shared papers)Anosheh Afghahi (1 shared paper)Alex McMillan (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (4 papers)Canadian Journal of Civil Engineering (1 paper)JCO Precision Oncology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Hsin-Ta Wu
15 papers receiving 175 citations
Peers
Comparison fields: 5 of 31
- Cancer Research 104
- Oncology 112
- Pathology and Forensic Medicine 36
- Pulmonary and Respiratory Medicine 54
- Genetics 31
Countries citing papers authored by Hsin-Ta Wu
This map shows the geographic impact of Hsin-Ta Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hsin-Ta Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Ta Wu more than expected).
Fields of papers citing papers by Hsin-Ta Wu
This network shows the impact of papers produced by Hsin-Ta Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hsin-Ta Wu. The network helps show where Hsin-Ta Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Ta Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 2022 | 48 | |
| 3 | 2022 | 14 | |
| 4 | 2024 | 9 | |
| 5 | 2019 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2004 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 |
About Hsin-Ta Wu
Hsin-Ta Wu is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 177 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Genetic factors in colorectal cancer (7 papers), Cancer Cells and Metastasis (5 papers), Colorectal Cancer Treatments and Studies (3 papers), Molecular Biology Techniques and Applications (2 papers), Renal cell carcinoma treatment (2 papers), Customer Service Quality and Loyalty (1 paper) and Innovative concrete reinforcement materials (1 paper). The work is most often cited by research in Cancer Research (104 citations), Oncology (112 citations), Pathology and Forensic Medicine (36 citations), Pulmonary and Respiratory Medicine (54 citations) and Genetics (31 citations). Hsin-Ta Wu has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Himanshu Sethi, Mustafa Balcioglu, Alexey Aleshin, Melinda L. Telli, Kirsten M. Timms, Vasily N. Aushev, Anosheh Afghahi, Alex McMillan, Joshua J. Gruber and James M. Ford. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Canadian Journal of Civil Engineering, JCO Precision Oncology and International Journal of Molecular Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.